IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v230y2018icp1311-1325.html
   My bibliography  Save this article

Optimal decarbonization pathways for urban residential building energy services

Author

Listed:
  • Leibowicz, Benjamin D.
  • Lanham, Christopher M.
  • Brozynski, Max T.
  • Vázquez-Canteli, José R.
  • Castejón, Nicolás Castillo
  • Nagy, Zoltan

Abstract

Strategies for decarbonizing residential building energy services can be divided into three categories: (1) shifting to less carbon-intensive fuels in the building energy supply mix, (2) adopting more energy-efficient end-use appliances, and (3) improving the thermal properties of buildings. We develop an optimization model that incorporates all three strategies, and determines the least-cost decarbonization pathway by balancing these levers and leveraging their synergistic relationships. Hourly service demand profiles are established using appliance-level empirical data and the CitySim building energy simulation software. We apply this framework to the residential buildings sector of Austin, Texas, which is a valuable test case due to its ambitious climate policy, rapid population growth, and strong space cooling demand in line with the shift of building energy demand toward warmer regions in the U.S. and globally. Results show that optimal decarbonization relies primarily on the electrification of end-uses and concomitant decarbonization of electricity supply. End-use appliance efficiency plays a comparatively minor role, limited to specific end-uses like lighting, space heating, and water heating. Upgrading building thermal efficiency significantly reduces the cost of climate policy, revealing an important policy complementarity between carbon reduction measures and building energy codes.

Suggested Citation

  • Leibowicz, Benjamin D. & Lanham, Christopher M. & Brozynski, Max T. & Vázquez-Canteli, José R. & Castejón, Nicolás Castillo & Nagy, Zoltan, 2018. "Optimal decarbonization pathways for urban residential building energy services," Applied Energy, Elsevier, vol. 230(C), pages 1311-1325.
  • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:1311-1325
    DOI: 10.1016/j.apenergy.2018.09.046
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918313552
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.09.046?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    2. Groissböck, Markus & Pickl, Matthias J., 2016. "An analysis of the power market in Saudi Arabia: Retrospective cost and environmental optimization," Applied Energy, Elsevier, vol. 165(C), pages 548-558.
    3. Chaturvedi, Vaibhav & Eom, Jiyong & Clarke, Leon E. & Shukla, Priyadarshi R., 2014. "Long term building energy demand for India: Disaggregating end use energy services in an integrated assessment modeling framework," Energy Policy, Elsevier, vol. 64(C), pages 226-242.
    4. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    5. Marilyn A Brown & Frank Southworth, 2008. "Mitigating Climate Change through Green Buildings and Smart Growth," Environment and Planning A, , vol. 40(3), pages 653-675, March.
    6. de Moura, Gustavo Nikolaus Pinto & Legey, Luiz Fernando Loureiro & Howells, Mark, 2018. "A Brazilian perspective of power systems integration using OSeMOSYS SAMBA – South America Model Base – and the bargaining power of neighbouring countries: A cooperative games approach," Energy Policy, Elsevier, vol. 115(C), pages 470-485.
    7. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    8. Farmer, Roger E.A. & Zabczyk, Pawel, 2018. "The household fallacy," Economics Letters, Elsevier, vol. 169(C), pages 83-86.
    9. Mateus, Tiago & Oliveira, Armando C., 2009. "Energy and economic analysis of an integrated solar absorption cooling and heating system in different building types and climates," Applied Energy, Elsevier, vol. 86(6), pages 949-957, June.
    10. Franz Fuerst & Patrick McAllister, 2011. "Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(1), pages 45-69, March.
    11. Chaturvedi, Vaibhav & Kim, Sonny & Smith, Steven J. & Clarke, Leon & Yuyu, Zhou & Kyle, Page & Patel, Pralit, 2013. "Model evaluation and hindcasting: An experiment with an integrated assessment model," Energy, Elsevier, vol. 61(C), pages 479-490.
    12. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    13. Wilkerson, Jordan T. & Leibowicz, Benjamin D. & Turner, Delavane D. & Weyant, John P., 2015. "Comparison of integrated assessment models: Carbon price impacts on U.S. energy," Energy Policy, Elsevier, vol. 76(C), pages 18-31.
    14. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    15. Self, Stuart J. & Reddy, Bale V. & Rosen, Marc A., 2013. "Geothermal heat pump systems: Status review and comparison with other heating options," Applied Energy, Elsevier, vol. 101(C), pages 341-348.
    16. Diana Ürge-Vorsatz & Cynthia Rosenzweig & Richard J. Dawson & Roberto Sanchez Rodriguez & Xuemei Bai & Aliyu Salisu Barau & Karen C. Seto & Shobhakar Dhakal, 2018. "Locking in positive climate responses in cities," Nature Climate Change, Nature, vol. 8(3), pages 174-177, March.
    17. Page Kyle & Leon Clarke & Fang Rong & Steven J. Smith, 2010. "Climate Policy and the Long-Term Evolution of the U.S. Buildings Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 145-172.
    18. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    19. Leibowicz, Benjamin D. & Krey, Volker & Grubler, Arnulf, 2016. "Representing spatial technology diffusion in an energy system optimization model," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 350-363.
    20. Lo, Kevin, 2014. "A critical review of China's rapidly developing renewable energy and energy efficiency policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 508-516.
    21. McNeil, Michael A. & Bojda, Nicholas, 2012. "Cost-effectiveness of high-efficiency appliances in the U.S. residential sector: A case study," Energy Policy, Elsevier, vol. 45(C), pages 33-42.
    22. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    23. Eom, Jiyong & Clarke, Leon & Kim, Son H. & Kyle, Page & Patel, Pralit, 2012. "China's building energy demand: Long-term implications from a detailed assessment," Energy, Elsevier, vol. 46(1), pages 405-419.
    24. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
    25. Bistline, John E. & Hodson, Elke & Rossmann, Charles G. & Creason, Jared & Murray, Brian & Barron, Alexander R., 2018. "Electric sector policy, technological change, and U.S. emissions reductions goals: Results from the EMF 32 model intercomparison project," Energy Economics, Elsevier, vol. 73(C), pages 307-325.
    26. Creason, Jared R. & Bistline, John E. & Hodson, Elke L. & Murray, Brian C. & Rossmann, Charles G., 2018. "Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project," Energy Economics, Elsevier, vol. 73(C), pages 290-306.
    27. Rhodes, Joshua D. & Cole, Wesley J. & Upshaw, Charles R. & Edgar, Thomas F. & Webber, Michael E., 2014. "Clustering analysis of residential electricity demand profiles," Applied Energy, Elsevier, vol. 135(C), pages 461-471.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jayadev, Gopika & Leibowicz, Benjamin D. & Kutanoglu, Erhan, 2020. "U.S. electricity infrastructure of the future: Generation and transmission pathways through 2050," Applied Energy, Elsevier, vol. 260(C).
    2. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    3. Scott, Michael J. & Daly, Don S. & Hathaway, John E. & Lansing, Carina S. & Liu, Ying & McJeon, Haewon C. & Moss, Richard H. & Patel, Pralit L. & Peterson, Marty J. & Rice, Jennie S. & Zhou, Yuyu, 2015. "Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model," Energy, Elsevier, vol. 90(P2), pages 1682-1694.
    4. Yu, Sha & Tan, Qing & Evans, Meredydd & Kyle, Page & Vu, Linh & Patel, Pralit L., 2017. "Improving building energy efficiency in India: State-level analysis of building energy efficiency policies," Energy Policy, Elsevier, vol. 110(C), pages 331-341.
    5. James McFarland & Yuyu Zhou & Leon Clarke & Patrick Sullivan & Jesse Colman & Wendy Jaglom & Michelle Colley & Pralit Patel & Jiyon Eom & Son Kim & G. Kyle & Peter Schultz & Boddu Venkatesh & Juanita , 2015. "Impacts of rising air temperatures and emissions mitigation on electricity demand and supply in the United States: a multi-model comparison," Climatic Change, Springer, vol. 131(1), pages 111-125, July.
    6. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2020. "Cost-effectiveness of energy efficiency investments for high renewable electricity systems," Energy, Elsevier, vol. 198(C).
    7. Hong, Lixuan & Zhou, Nan & Feng, Wei & Khanna, Nina & Fridley, David & Zhao, Yongqiang & Sandholt, Kaare, 2016. "Building stock dynamics and its impacts on materials and energy demand in China," Energy Policy, Elsevier, vol. 94(C), pages 47-55.
    8. Giraudet, Louis-Gaëtan, 2020. "Energy efficiency as a credence good: A review of informational barriers to energy savings in the building sector," Energy Economics, Elsevier, vol. 87(C).
    9. Cao, Zhi & Liu, Gang & Duan, Huabo & Xi, Fengming & Liu, Guiwen & Yang, Wei, 2019. "Unravelling the mystery of Chinese building lifetime: A calibration and verification based on dynamic material flow analysis," Applied Energy, Elsevier, vol. 238(C), pages 442-452.
    10. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    11. Lai, Yuan & Papadopoulos, Sokratis & Fuerst, Franz & Pivo, Gary & Sagi, Jacob & Kontokosta, Constantine E., 2022. "Building retrofit hurdle rates and risk aversion in energy efficiency investments," Applied Energy, Elsevier, vol. 306(PB).
    12. Francesco Moresino & Emmanuel Fragnière, 2018. "Combining Behavioral Approaches with Techno-Economic Energy Models: Dealing with the Coupling Non-Linearity Issue," Energies, MDPI, vol. 11(7), pages 1-14, July.
    13. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    14. Anil Markandya & Xavier Labandeira & Ana Ramos, 2013. "Policy Instruments to Foster Energy Efficiency," Working Papers 01-2014, Economics for Energy.
    15. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "Integrating supply and demand-side management in renewable-based energy systems," Energy, Elsevier, vol. 232(C).
    16. Groissböck, Markus & Pickl, Matthias J., 2018. "Fuel-price reform to achieve climate and energy policy goals in Saudi Arabia: A multiple-scenario analysis," Utilities Policy, Elsevier, vol. 50(C), pages 1-12.
    17. Louis-Gaëtan Giraudet, 2018. "Energy efficiency as a credence good: A review of informational barriers to building energy savings," Working Papers 2018.07, FAERE - French Association of Environmental and Resource Economists.
    18. Maya M. Papineau, 2015. "Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes," Carleton Economic Papers 15-05, Carleton University, Department of Economics.
    19. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:230:y:2018:i:c:p:1311-1325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.